Triple

T3422731
Position Surface form Disambiguated ID Type / Status
Subject On Golden Pond E72150 entity
Predicate director P255 FINISHED
Object Mark Rydell E294797 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Mark Rydell | Statement: [On Golden Pond, director, Mark Rydell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mark Rydell
Context triple: [On Golden Pond, director, Mark Rydell]
  • A. Mark Rydell chosen
    Mark Rydell is an American film director and actor best known for directing acclaimed movies such as "On Golden Pond" and "The Rose."
  • B. Lawrence Turman
    Lawrence Turman is an American film producer best known for his work on influential Hollywood films and for his long career shaping and mentoring talent in the movie industry.
  • C. John Stanley
    John Stanley is a British Conservative politician who served as a Member of Parliament for several decades and held multiple ministerial roles in defense and foreign affairs.
  • D. Leonard Schrader
    Leonard Schrader was an American screenwriter and director known for his collaborations with his brother Paul Schrader and for writing acclaimed films such as "Kiss of the Spider Woman."
  • E. Budd Schulberg
    Budd Schulberg was an American screenwriter and novelist best known for his influential work in mid-20th-century Hollywood and his Academy Award–winning scripts.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ad85ad38e48190b7660c5118a35289 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb95223e081908b2954769d2f46c8 completed March 8, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69b35472881c8190baf90b91daa924ec completed March 13, 2026, 12:04 a.m.
Created at: March 8, 2026, 3:15 p.m.